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Maximum projection designs for computer experiments

V. Roshan Joseph, Evren Gul and Shan Ba

Biometrika, 2015, vol. 102, issue 2, 371-380

Abstract: Space-filling properties are important in designing computer experiments. The traditional maximin and minimax distance designs consider only space-filling in the full-dimensional space; this can result in poor projections onto lower-dimensional spaces, which is undesirable when only a few factors are active. Restricting maximin distance design to the class of Latin hypercubes can improve one-dimensional projections but cannot guarantee good space-filling properties in larger subspaces. We propose designs that maximize space-filling properties on projections to all subsets of factors. We call our designs maximum projection designs. Our design criterion can be computed at no more cost than a design criterion that ignores projection properties.

Date: 2015
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Citations: View citations in EconPapers (17)

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